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Problem statement: Nowadays, various types of data in web table can be easily extracted&#13; from the Internet, although not all of web tables are relevant to the users. As we may know, most web&#13; pages are in unstructured HTML format, making web table extraction process very time consuming&#13; and costly. HTML format only focuses on the presentation, not based on the database system.&#13; Therefore, users need a tool in dealing with that process. Approach: This research proposed an&#13; approach for implementing web table extraction and making a Mashup from HTML web pages using&#13; Xtractorz application. It is also discussed on how to collaborate and integrate a web table extraction&#13; process in the stage of building a Mashup, i.e., Data Retrieval, Data Source Modeling, Data Cleaning/&#13; Filtering, Data Integration and Data Visualization. The main issue lies in stage of data modeling&#13; creation, in which Xtractorz must be able to automatically render Document Object Model (DOM) tree&#13; in accordance to HTML tag or code of the web page from which the table is extracted. To overcome&#13; that, the Xtractorz is equipped with algorithm and rules so it can enable to specifically analyze the&#13; HTML tags and to extract the data into a new table format. The algorithm is created by using recursive&#13; technique within a user-friendly GUI of Xtractorz. Results: The approach was evaluated by&#13; conducting experiment using Xtractorz and other similar applications, such as RoboMaker and Karma.&#13; The result of experiment showed that Xtractorz is more efficient in completing the experiment tasks,&#13; since Xtractorz has fewer steps to complete the whole tasks. Conclusion: Xtractorz can give a positive&#13; contribution in terms of algorithm technique and a new approach method to web table extraction&#13; process and making a Mashup, where the core algorithm can extracts web data tables using recursive&#13; technique while rendering the DOM tree model automatically

Proposing the new Algorithm and Technique Development for Integrating Web Table Extraction and Building a Mashup